DescriptionAs a Big Data Software Engineer III at JPMorgan Chase within the Corporate Sector - Consumer and Community Risk Technology team, you'll be part of an agile team that designs and delivers state-of-the-art technology products. This role offers you the opportunity to grow your skills and experience in software design, development, and troubleshooting, while contributing to secure, stable, and scalable software solutions.
Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
- Be an active developer, team player and contributor to the team’s delivery. Take the lead on solving and implementing difficult technology challenges and help our team to successful delivery.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficiency in multiple modern technologies : Python
- AWS, Spark, and PySpark
- Experience with Relational or NoSQL Datastores such as Cassandra, PostgreSql, GAIA Oracle Services, Graph Databases
- Knowledge about data modelling and MDD
- Experience across the whole Software Development Life Cycle
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Solid application design, coding, testing, maintenance and debugging skills
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to distributed development architecture and bpmn modelling
